Is AnyCable Coder optimized for AI and LLM streaming?

Absolutely. It is specifically designed to handle the sequential delivery of AI-generated tokens, ensuring that streaming responses are displayed correctly even during brief network interruptions.

Can this skill help migrate existing Action Cable projects?

Yes, it includes specific patterns and client-side migration steps to transition from @rails/actioncable to @anycable/web while maintaining a similar API.

Does it provide infrastructure and deployment configurations?

Yes, the skill provides configuration templates for anycable.yml, Docker Compose, and Procfile setups required to run the AnyCable-Go WebSocket server.

Why use AnyCable instead of standard Action Cable?

AnyCable provides at-least once delivery, message ordering, and history recovery, which standard Action Cable lacks. This makes it essential for critical features like LLM streaming where missing chunks break the UI.

AnyCable Rails Real-Time

Name: AnyCable Rails Real-Time
Author: majesticlabs-dev

bymajesticlabs-dev

•

API 开发

Implements high-performance, reliable real-time features in Ruby on Rails applications using AnyCable for guaranteed message delivery and LLM streaming.

关于

AnyCable Coder is a specialized skill designed for Rails developers who require superior reliability for real-time communication beyond what standard Action Cable offers. It provides expert guidance on implementing AnyCable to achieve 'at-least once' delivery, guaranteed message ordering, and automatic reconnection with history recovery—essential features for modern AI applications and LLM streaming. The skill covers everything from server-side Ruby channels and presence tracking to modern JavaScript client implementation and infrastructure configuration for AnyCable-Go.

主要功能

18 GitHub stars
Built-in presence tracking for real-time user status management
Optimized patterns for real-time LLM token streaming and chunking
Seamless migration patterns from Action Cable to the AnyCable ecosystem
Infrastructure configuration for AnyCable-Go, Redis, and NATS broadcasters
Reliable at-least once delivery guarantees for mission-critical messages

使用场景

Scaling Rails WebSocket connections to thousands of concurrent users using Go
Streaming AI responses where every token must arrive in sequence without loss
Building high-scale collaborative tools requiring robust user presence tracking

关于

主要功能

18 GitHub stars
Built-in presence tracking for real-time user status management
Optimized patterns for real-time LLM token streaming and chunking
Seamless migration patterns from Action Cable to the AnyCable ecosystem
Infrastructure configuration for AnyCable-Go, Redis, and NATS broadcasters
Reliable at-least once delivery guarantees for mission-critical messages

使用场景

Scaling Rails WebSocket connections to thousands of concurrent users using Go
Streaming AI responses where every token must arrive in sequence without loss
Building high-scale collaborative tools requiring robust user presence tracking